Monthly Rainfall Estimation Using Data-Mining Process - Hindawi

Jul 18, 2012 ... In recent years, the use of data-mining process in the field of hydrology is increasing. The studies have been performed using DM process in many areas [11–13]. Keskin et al. [14] developed integrated evaporation model using DM process for three lakes in Turkey. Terzi [15] developed the models to...

An Integrated Knowledge Discovery and Data Mining Process Model

“AN INTEGRATED KNOWLEDGE DISCOVERY. AND DATA MINING PROCESS MODEL”. A dissertation submitted in partial fulfillment of the requirements for the degree of. Doctor of Philosophy at Xinhaiia Commonwealth University. by. SUMANA SHARMA. Post Graduate Diploma (Honors) in Telecom Management.

Monthly River Flow Forecasting by Data Mining Process

Jan 21, 2011 ... In addition, data mining has also been applied to other types of scientific data such as bioinformatical, astronomical, and medical (Li & Shue, 2004). Keskin et al. (2009) developed pan evaporation models using data mining process for Lakes Eğirdir, Kovada, and Karacaören Dam and formed an integrated.

Session 5: Data-mining and methods for modeling and assessing ...

Session 5: Data-mining and methods for modeling and assessing state and fate of soil water. Organisers: ... Improving the description of soil water fluxes from the subsurface to the atmosphere, will provide a firmer grasp of runoff sources and sinks, residence times and evaporation/transpiration partitioning. An extension of...

A Survey Paper on Climate Changes Prediction Using Data mining

system which tries to predict new values. A simple climate forecasting [7] can be done by regression techniques. In the recent years, the use of data mining process in the field of hydrology is increasing. The studies have been performed using data mining process in many areas [14-. 16]. Integrated evaporation model [17],...

ecir uğur küçüksille - Google Scholar Citations

Data mining approach for supply unbalance detection in induction motor. A Çakır, H Çalış, EU Küçüksille. Expert systems with applications 36 (9), 11808-11813, 2009. 13, 2009. Data mining process for integrated evaporation model. ME Keskin, Ö Terzi, EU Küçüksille. Journal of irrigation and drainage engineering 135 (1),...

HPD® Evaporation and Crystallization - Veolia

Radwaste evaporation / crystallization. Metals and Mining. • Systems for evaporites mining, co-products from extraction & refining, by-products, and tailings & ... critical design data. • Development of commercial processes based on new, unknown feed stocks to define product specifications. • Spare parts, replacement, and...

An Integrated Classification Model for Financial Data Mining

Sep 9, 2016 ... Financial institutes have applied different data mining techniques to enhance their business performance. However, simple ap-proach of these techniques could raise a performance issue. Besides, there are very few general models for both understanding and forecasting different finan-cial fields.

Data Mining and NIR Spectroscopy in Viticulture: Applications for ...

Feb 16, 2016 ... Hence, the attractive attempt to apply less often used data mining techniques for the modeling of NIR spectra, thus making it possible to carry fast, in-field ... For both experiments, spectra acquisition was performed in the field with an integrated portable NIR spectral analyzer (microPHAZIR™, Thermo Fisher...

Automating an integrated spatial data-mining model for landfill site ...

An integrated programming environment represents a robust approach to building a valid model for landfill site selection. One of the main challenges in the integrated model is the complicated processing and modelling due to the programming stages and several limitations. An automation process helps avoid the...

What Is Data Mining? - Oracle Help Center

Data mining models can be used to mine the data on which they are built, but most types of models are generalizable to new data. ... Inductive inference, the process of reaching a general conclusion from specific examples, is a characteristic of data mining. ... Data mining and OLAP can be integrated in a number of ways.

Data Mining Concepts | Microsoft Docs

The last step in the data mining process, as highlighted in the following diagram, is to deploy the models that performed the best to a ... Use Integration Services to create a package in which a mining model is used to intelligently separate incoming data into multiple tables.

Assessing Residual Value of Heavy Construction Equipment Using ...

This paper introduces a data mining based approach for estimating the residual value of heavy construction equipment using a predictive data mining model, and its potential benefits on the decision making of construction equipment management. Compared to the current practice of assessing equipment residual values,...

Evaluation of simple to complex parameterizations of bare ground ...

Jul 23, 2015 ... While evaporation rates can be measured using lysimeters or estimated using data from eddy covariance towers [Allen et al., 2011], land surface and integrated hydrologic models are commonly used. In their attempt to represent a complex, nonlinear process like evaporation, hydrologic models use...

Comparison of techniques for estimating annual lake evaporation ...

Comparison of techniques for estimating annual lake evaporation using climatological data ... Abstract. Mean annual evaporation estimates were determined for 30 lakes by use of a numerical model (Morton, 1979) and by use of an evaporation map prepared by the U.S. Weather Service (Kohler et al., 1959).

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